浪潮KaiwuDB数据库

专为物联网设计的分布式多模数据库，赋能用户高效、安全实现时序+关系等多模数据的采集、汇聚、存储、分析，融合Data + AI，实现业务的预测分析与数据价值挖掘。

Why choose KaiwuDB?

Inspur KaiwuDB is a distributed multi-mode database specially designed for IoT users—— Supports the simultaneous establishment of time series database and relational database in the same instance, and integrated processing of multi-modal data; It has the ability to efficiently process time series data such as accessing tens of millions of devices, writing millions of data in seconds, and reading billions of data in seconds.

Authoritative Recognition

Awarded Gartner's 'Representative Vendor in China Real-time Data Management'; recognized as a 'Trusted Database' and 'Pioneer in China Time-series Databases' by CAICT.

Technological Innovation

The industry's first 'multi-modal fusion' architecture for IoT; a single database fulfills storage and management needs for multi-source data such as time-series + relational data.

Secure and Trusted

Domestic database with code-level controllability; compatible with mainstream environments, meeting enterprise security and reliability requirements.

Advantages of KaiwuDB

Distributed multi-mode database for the Internet of Things

One Database Solves Mixed Architecture Problems

Original multi-modal architecture. One KaiwuDB can replace both time-series databases (e.g., InfluxDB) and relational databases (e.g., MySQL), vastly simplifying technical architectures and reducing dev/O&M costs. Native cross-model correlation queries allow standard SQL to operate on two types of data without migration, avoiding synchronization between heterogeneous databases.

High-Performance Time-Series Processing

AI-ready, Intelligent O&M

Multi-dimensional Efficiency and Cost Savings

Open and Active Open Source Community

One Database Solves Mixed Architecture Problems

Covers many industry application scenarios

Provide high-performance, safe and trustworthy, AI-empowered data solutions for IoT enterprises

IoT Solutions

Industrial IoT faces severe data management challenges: equipment sensors generate massive high-frequency time-series data. Traditional databases struggle to support millisecond-level writing and real-time analysis, causing collection delays and lagging warnings. Time-series data carries core value; improper management affects production continuity and may cause huge losses.

Heavy Industry Group

Provides full-lifecycle equipment management solutions for heavy manufacturing scenarios, realizing predictive maintenance.

Super Factory

Provides comprehensive energy management for large manufacturing enterprises, optimizing energy use and tracking carbon emissions.

Smart Manufacturing

Builds digital twin factories, mapping production line status in real-time, greatly shortening new product trial cycles.

Active Open Source Community

Connect with developers worldwide to build the next-generation distributed multi-modal database standard. Join us and let data create infinite possibilities.